Open AccessSingle shot three-dimensional imaging using an engineered point spread function
Author(s) -
R. Berlich,
Andreas Bräuer,
Sjoerd Stallinga
Publication year - 2016
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.005946
Subject(s) - point spread function , optics , artificial intelligence , computer vision , computer science , holography , focus (optics) , filter (signal processing) , image plane , wiener filter , physics , image (mathematics)
A system approach to acquire a three-dimensional object distribution is presented using a compact and cost efficient camera system with an engineered point spread function. The corresponding monocular setup incorporates a phase-only computer-generated hologram in combination with a conventional imaging objective in order to optically encode the axial information within a single two-dimensional image. The object's depth map is calculated using a novel approach based on the power cepstrum of the image. The in-plane RGB image information is restored with an extended depth of focus by applying an adapted Wiener filter. The presented approach is tested experimentally by estimating the three-dimensional distribution of an extended passively illuminated scene.